Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for recommendations for shareable links to content items stored in an online content management service, the method performed by a computing system comprising one or more processing units and memory, the method comprising: monitoring requests to access content items via corresponding shareable links to the content items including, for each request to access a content item, incrementing, in a share history of a first user, a view count associated with the corresponding shareable link to the content item; based, at least in part, on the monitoring, identifying a first content item, of the content items, receiving at least a threshold number of requests to access the first content item via the corresponding shareable link to the first content item according to the view count, in the share history of the first user, associated with the corresponding shareable link to the first content item; identifying, in the share history of the first user, a target identifier of a second user with which the corresponding shareable link to the first content item is shared by the first user; identifying a second content item that: (a) the first user is currently not sharing, and (b) has one or more characteristics in common with the first content item; and sending a recommendation to the first user to create and share a shareable link to the second content item with the second user.
The invention relates to a system for generating recommendations of shareable content links within an online content management service. The system monitors user activity by tracking access requests to content items via their shareable links, incrementing a view count in a user's share history for each access. When a content item receives at least a threshold number of views, the system identifies it as a popular item. The system then examines the share history to determine which users received the shareable link to this popular content item. Next, it identifies another content item that the user is not currently sharing but shares characteristics with the popular item. Finally, the system sends a recommendation to the user, suggesting they create and share a link to this second content item with the same user who received the link to the popular item. This approach leverages user sharing patterns and content similarities to automate personalized recommendations, enhancing content discovery and engagement within the platform.
2. The method of claim 1 , further comprising determining the threshold number based, at least in part, on user input specifying the threshold number.
A system and method for dynamically adjusting a threshold number in a data processing or analysis application. The technology addresses the challenge of optimizing performance or accuracy in systems where a fixed threshold number may not be optimal for all scenarios. The method involves determining a threshold number that controls a decision-making process, such as filtering, classification, or prioritization of data. The threshold number is dynamically adjusted based on user input, allowing for customization to specific use cases or preferences. This ensures flexibility in adapting the system to varying requirements, improving efficiency or accuracy. The method may be applied in fields such as data analysis, machine learning, or automated decision-making systems where adaptive thresholds enhance performance. By incorporating user input, the system avoids rigid, pre-defined thresholds, enabling better alignment with real-world operational needs. The dynamic adjustment mechanism ensures the threshold remains relevant and effective across different conditions or user-defined criteria.
3. The method of claim 1 , wherein one of the one or more characteristics in common between the first content item and the second content item comprises authorship as specified by metadata, stored in the online content management service, associated with the first content item and metadata, stored in the online content management service, associated with the second content item.
This invention relates to content management systems that identify relationships between content items based on shared characteristics. The problem addressed is the difficulty in automatically detecting connections between content items in an online content management service, particularly when those connections are not explicitly defined by users. The solution involves analyzing metadata associated with content items to determine shared characteristics, such as authorship, which can then be used to establish relationships between them. The method involves comparing metadata stored in the online content management service for a first content item and a second content item. If the metadata indicates that both items share a common characteristic, such as the same author, the system identifies a relationship between them. This allows the system to group or link content items that are related but may not have been explicitly connected by users. The approach leverages existing metadata to infer relationships without requiring additional user input, improving content organization and discoverability within the service. The system can apply this method to various types of content, including documents, images, or other files, as long as metadata is available to compare. This enhances the ability to navigate and manage large collections of content by automatically identifying meaningful connections between items.
4. The method of claim 1 , wherein one of the one or more characteristics in common between the first content item and the second content item comprises a content descriptor as specified by metadata, stored in the online content management service, associated with the first content item and metadata, stored in the online content management service, associated with the second content item.
This invention relates to content management systems that identify and utilize shared characteristics between digital content items. The problem addressed is the need to efficiently determine relationships between content items in an online content management service based on metadata descriptors. The solution involves analyzing metadata associated with content items to identify common characteristics, such as descriptors, which can then be used to establish connections or perform operations between the items. The method involves comparing metadata stored in the online content management service for at least two content items. The metadata includes descriptors that categorize or describe the content. By identifying matching descriptors between the items, the system can determine that they share a characteristic in common. This shared characteristic can then be used for various purposes, such as grouping, recommending, or processing the content items in a coordinated manner. The descriptors may include tags, labels, or other structured metadata fields that define attributes of the content, such as subject matter, type, or relevance. The approach ensures that relationships between content items are derived from standardized metadata, enabling consistent and scalable analysis within the service. This method improves content organization and retrieval by leveraging existing metadata rather than requiring additional analysis of the content itself.
5. The method of claim 1 , wherein one of the one or more characteristics in common between the first content item and the second content item comprises a calendar date as specified by metadata, stored in the online content management service, associated with the first content item and metadata, stored in the online content management service, associated with the second content item.
This invention relates to content management systems that identify and group related content items based on shared characteristics. The problem addressed is the difficulty of organizing and retrieving content in large online repositories where items may be related but lack explicit connections. The solution involves analyzing metadata associated with content items to detect shared attributes, such as calendar dates, and using these to establish relationships between items. The system stores metadata for content items in an online content management service, where the metadata includes information like creation dates, modification dates, or other temporal markers. When comparing two content items, the system checks their metadata for common characteristics, such as matching calendar dates. If a shared date is found, the system identifies the items as related, enabling features like automated grouping, suggested connections, or improved search results. This approach enhances content organization by leveraging implicit relationships derived from metadata rather than requiring manual tagging or explicit user input. The method is particularly useful for users managing large volumes of documents, images, or other digital assets where temporal relevance is a key organizing factor.
6. The method of claim 1 , wherein one of the one or more characteristics in common between the first content item and the second content item comprises a geographic location as specified by metadata, stored in the online content management service, associated with the first content item and metadata, stored in the online content management service, associated with the second content item.
This invention relates to content management systems that identify and group related content items based on shared characteristics, with a focus on geographic location metadata. The problem addressed is the difficulty of efficiently organizing and retrieving content items in large online databases where users may need to find related items based on location data. The method involves analyzing metadata associated with content items stored in an online content management service to identify shared characteristics between them. Specifically, the invention determines that two or more content items are related if they share a geographic location specified in their metadata. For example, if a user uploads a photo with location metadata indicating it was taken in Paris, and another photo with the same location metadata, the system will recognize these as related items. This allows for improved content organization, retrieval, and presentation, such as grouping location-tagged items in a user's gallery or suggesting related content to users. The system extracts location data from metadata fields associated with each content item, compares these values, and establishes relationships when matches are found. This can be used to enhance search functionality, automate content categorization, or provide location-based recommendations. The approach ensures that content items with identical or similar geographic metadata are linked, improving user experience in managing and discovering location-specific content.
7. The method of claim 1 , wherein one of the one or more characteristics in common between the first content item and the second content item comprises a keyword content descriptor as specified by metadata, stored in the online content management service, associated with the first content item and metadata, stored in the online content management service, associated with the second content item.
This invention relates to content management systems that identify and utilize shared characteristics between digital content items. The problem addressed is efficiently determining relationships between content items in an online content management service to improve organization, search, and recommendation features. The invention involves analyzing metadata associated with content items to identify common characteristics, such as keyword descriptors, that indicate a meaningful connection between them. When two content items share a keyword descriptor in their metadata, this shared attribute is used to establish a relationship between them. The system stores these metadata descriptors within the online content management service, allowing the service to leverage these relationships for various functions, such as grouping related content, enhancing search relevance, or suggesting additional content to users. The method ensures that the shared characteristics are derived from structured metadata, providing a reliable and scalable way to identify connections between content items without manual intervention. This approach improves the accuracy and efficiency of content organization and retrieval in digital storage systems.
8. The method of claim 1 , wherein one of the one or more characteristics in common between the first content item and the second content item comprises a tag content descriptor as specified by metadata, stored in the online content management service, associated with the first content item and metadata, stored in the online content management service, associated with the second content item.
This invention relates to content management systems that identify and utilize shared characteristics between digital content items. The problem addressed is the difficulty in automatically detecting meaningful relationships between content items stored in an online content management service, particularly when those relationships are not explicitly defined by users. The solution involves analyzing metadata associated with content items to identify shared characteristics, such as tags or descriptors, which can then be used to infer connections or similarities between the items. The method compares metadata from a first content item and a second content item to determine if they share a common tag or descriptor. If a match is found, this shared characteristic is used to establish a relationship between the items, enabling features like automated content organization, recommendation systems, or collaborative filtering. The approach leverages existing metadata structures within the content management service, avoiding the need for manual user input or additional data processing. This allows the system to dynamically recognize and utilize relationships between content items based on their descriptive metadata, improving content discovery and management efficiency.
9. The method of claim 1 , wherein the first content item and the second content item each comprise a respective digital image; and wherein one of the one or more characteristics in common between the first content item and the second content item is a person's face detected by facial recognition analysis applied to the respective digital images.
This invention relates to digital content analysis, specifically methods for identifying and linking related content items based on shared characteristics. The problem addressed is the difficulty in automatically detecting and grouping digital content that shares common features, such as visual similarities or specific objects, to improve organization, retrieval, or presentation of the content. The method involves analyzing a first content item and a second content item, each comprising a digital image. The system applies facial recognition analysis to detect a person's face in both images. If the same face is identified in both images, the system determines that the content items share this characteristic in common. This allows the system to establish a relationship between the two content items based on the detected face, enabling further processing such as grouping, tagging, or prioritizing the content. The facial recognition analysis may involve comparing facial features, patterns, or biometric data extracted from the images to identify matches. The method ensures that content items featuring the same individual can be automatically linked, improving efficiency in tasks like photo organization, social media curation, or security monitoring. The approach leverages advanced image processing techniques to enhance content management systems by reducing manual effort and improving accuracy in identifying related digital media.
10. One or more non-transitory computer-readable media storing one or more programs for recommendations for shareable links to content items stored in an online content management service, the one or more programs configured for execution by a computing system comprising one or more processing units and memory, the one or more programs comprising instructions configured for: monitoring requests to access content items via corresponding shareable links to the content items including, for each request to access a content item, incrementing, in a share history of a first user, a view count associated with the corresponding shareable link to the content item; based, at least in part, on the monitoring, identifying a first content item, of the content items, receiving at least a threshold number of requests to access the first content item via the corresponding shareable link to the first content item according to the view count, in the share history of the first user, associated with the corresponding shareable link to the first content item; identifying, in the share history of the first user, a target identifier of each user of a plurality of other users with which the corresponding shareable link to the first content item is shared by the first user; identifying a second content item that: (a) the first user is currently not sharing, and (b) has one or more characteristics in common with the first content item; and sending a recommendation to the first user to create and share a shareable link to the second content item with the plurality of other users.
This invention relates to a system for generating recommendations of shareable links to content items in an online content management service. The system monitors user activity by tracking requests to access content items via shareable links, incrementing a view count in a user's share history for each access. When a content item (first content item) receives at least a threshold number of access requests via its shareable link, the system identifies users (other users) with whom the first content item was shared. The system then identifies a second content item that the user is not currently sharing but has characteristics similar to the first content item. Finally, the system sends a recommendation to the user to create and share a shareable link to the second content item with the same group of users who accessed the first content item. This approach leverages user sharing patterns and content similarities to suggest relevant content, improving content discovery and engagement within the online service.
11. The one or more non-transitory computer-readable media of claim 10 , wherein the recommendation comprises the target identifier of each user of the plurality of other users.
Technical Summary: This invention relates to a system for generating and displaying personalized recommendations within a digital platform, particularly in social media or user interaction environments. The core problem addressed is the need to provide relevant and contextually appropriate recommendations to users based on their interactions with other users, while ensuring the recommendations are tailored to individual preferences and behaviors. The system involves a recommendation engine that processes user data to identify and suggest other users or content that aligns with a given user's interests. The recommendation engine generates a recommendation that includes a target identifier for each of the other users being recommended. This target identifier uniquely distinguishes each recommended user, allowing the system to accurately track and display the recommendations. The recommendation may also include additional metadata, such as relevance scores or contextual information, to enhance the user experience. The system dynamically updates recommendations based on real-time user interactions, ensuring that the suggestions remain relevant over time. The target identifiers enable seamless integration with user profiles, allowing the system to fetch and display detailed information about the recommended users. This approach improves user engagement by providing personalized and actionable recommendations, while maintaining privacy and data integrity. The invention is particularly useful in social networks, professional networking platforms, and content-sharing applications where user interactions are frequent and diverse.
12. The one or more non-transitory computer-readable media of claim 10 , wherein the second content item is identified from among a set of content items accessible to a user account held by the first user with the online content management service.
The invention relates to a system for managing and recommending content within an online content management service. The problem addressed is the need to efficiently identify and recommend relevant content items to users based on their access permissions and interactions with the service. The system involves a method for processing content items, where a first content item is received from a first user and stored in a data store. The system then identifies a second content item from a set of content items accessible to the first user's account, where the second content item is associated with a second user. The system determines a similarity score between the first and second content items based on their attributes, such as metadata, tags, or user interactions. If the similarity score exceeds a predefined threshold, the second content item is recommended to the first user. The recommendation process ensures that only content items within the first user's accessible set are considered, maintaining privacy and access control. The system may also track user interactions with recommended content to refine future recommendations. This approach enhances content discovery while respecting access permissions and user preferences.
13. A computing system, comprising: one or more processing units; and one or more programs for recommendations for shareable links to content items stored in an online content management service, the one or more programs configured for execution by the one or more processing units, the one or more programs comprising instructions configured for: monitoring requests to access content items via corresponding shareable links to the content items including, for each request to access a content item, incrementing, in a share history of a first user, a view count associated with the corresponding shareable link to the content item; based, at least in part, on the monitoring, identifying a first content item, of the content items, receiving at least a threshold number of requests to access the first content item via the corresponding shareable link to the first content item according to the view count, in the share history of the first user, associated with the corresponding shareable link to the first content item; identifying, in the share history of the first user, a target identifier of a second user with which the corresponding shareable link to the first content item is shared by the first user; identifying a second content item that: (a) the first user is currently not sharing, and (b) has one or more characteristics in common with the first content item; and sending a recommendation to the first user to create and share a shareable link to the second content item with the second user.
The computing system operates in the domain of online content management and recommendation systems, addressing the problem of efficiently suggesting relevant content to users based on sharing behavior. The system monitors access requests to content items via shareable links, tracking view counts in a user's share history. When a content item receives at least a threshold number of access requests, the system identifies a target user with whom the link was shared. It then identifies a second content item that the first user is not currently sharing but shares characteristics with the first content item. The system sends a recommendation to the first user to create and share a shareable link to this second content item with the same target user. This approach leverages sharing patterns to predict and recommend additional content that may be of interest to both the sharer and the recipient, improving content discovery and engagement within the online platform. The system dynamically analyzes sharing activity to provide personalized recommendations, enhancing user experience and content dissemination.
14. The system of claim 13 , the instructions further configured for: identifying the target identifier of the second user in a share history of the first user; and wherein the sending the recommendation is based, at least in part, on the identifying the target identifier of the second user in the share history of the first user.
This invention relates to a system for generating and sending recommendations based on user sharing history within a digital platform. The problem addressed is the need to provide personalized recommendations to users by leveraging their past interactions, particularly shared content, to improve relevance and engagement. The system includes a processor and memory storing instructions that, when executed, perform several functions. First, the system identifies a target identifier of a second user within a share history of a first user. This means the system tracks when the first user has shared content with the second user in the past. The system then uses this information to determine whether to send a recommendation to the second user. The recommendation is based, at least in part, on the identification of the second user in the first user's share history, ensuring that the recommendation is contextually relevant to their prior interactions. Additionally, the system may generate a recommendation score for the second user based on the share history, which helps prioritize or filter recommendations. The system may also determine whether the second user has previously received a recommendation from the first user, further refining the recommendation process. The instructions may also include logic to send the recommendation to the second user only if certain conditions are met, such as the recommendation score exceeding a threshold or the second user not having previously received a similar recommendation. This ensures that recommendations are timely and meaningful, enhancing user experience and engagement within the platform.
15. The system of claim 13 , wherein the recommendation comprises a representation of the one or more characteristics.
A system for generating and displaying recommendations based on user preferences and characteristics. The system identifies one or more characteristics of a user, such as interests, behaviors, or demographic information, and generates a recommendation tailored to those characteristics. The recommendation includes a representation of the identified characteristics, which may be visual, textual, or interactive, to help the user understand the basis for the recommendation. The system may also analyze historical data or real-time inputs to refine the recommendation process. The recommendation can be displayed in a user interface, allowing the user to interact with or modify the recommendation based on their preferences. The system ensures that the recommendation is personalized and transparent, enhancing user engagement and satisfaction. The representation of characteristics may include visual indicators, summaries, or explanations to clarify how the recommendation was derived. This approach improves the relevance and trustworthiness of recommendations by making the underlying factors explicit to the user.
16. The system of claim 13 , wherein the recommendation is sent in a web page served by the online content management service to a client device of the first user.
The system relates to online content management services that provide personalized recommendations to users. The problem addressed is the need for efficient and context-aware delivery of recommendations within a web-based environment. The system includes a content management service that generates recommendations for a first user based on their interactions with digital content. These recommendations are then transmitted to the first user's client device via a web page served by the service. The system may also track user interactions with the recommendations to refine future suggestions. Additionally, the system can prioritize recommendations based on relevance, recency, or user preferences. The web page may include interactive elements that allow the user to engage with the recommendations, such as viewing, saving, or sharing the suggested content. The system ensures that recommendations are dynamically updated and tailored to the user's behavior, improving engagement and personalization. The service may also integrate with third-party platforms to expand the range of available recommendations. The overall goal is to enhance user experience by delivering timely and relevant content suggestions within the web interface.
17. The system of claim 13 , wherein the recommendation is sent in an electronic mail message addressed to the first user.
A system for generating and delivering personalized recommendations to users in a digital environment addresses the challenge of efficiently providing relevant suggestions without disrupting the user experience. The system analyzes user behavior, preferences, and contextual data to identify items, services, or actions likely to be of interest. These recommendations are then presented to the user in a non-intrusive manner, enhancing engagement and utility. The system includes a recommendation engine that processes user data to generate tailored suggestions. It may also incorporate feedback mechanisms to refine future recommendations based on user interactions. In one implementation, the system sends recommendations via electronic mail messages addressed to the user, ensuring the suggestions are delivered in a familiar and accessible format. This approach leverages email as a reliable communication channel, allowing users to review recommendations at their convenience. The system may further integrate with other platforms or applications to expand the scope of recommendations and improve relevance. By automating the recommendation process and delivering it through email, the system streamlines user engagement while maintaining flexibility in how suggestions are presented.
18. The system of claim 13 , the instructions further configured for: creating a shareable link to the second content item; and storing an entry in a share history of the first user, the entry comprising the shareable link and the target identifier of the second user.
This invention relates to a system for managing and tracking shared digital content within a collaborative environment. The problem addressed is the lack of visibility and control over how content is distributed among users, particularly in systems where multiple users interact with shared resources. The system includes a content management platform that allows users to share digital content items with other users. When a first user shares a second content item with a second user, the system generates a shareable link to the content. This link enables the second user to access the shared content. Additionally, the system records an entry in a share history associated with the first user. This entry includes the shareable link and a target identifier of the second user, allowing the first user to track who they have shared content with and what was shared. The system may also include features for managing access permissions, monitoring sharing activity, and providing analytics on content distribution. The share history provides transparency and accountability, helping users and administrators understand how content is being shared and ensuring compliance with sharing policies. The system may further include mechanisms to revoke access, audit sharing activity, and enforce restrictions on content distribution. This approach enhances collaboration while maintaining control over sensitive or proprietary information.
19. The system of claim 13 , the instructions further configured for: determining that the second content item is not designated as private by the first user; and wherein the sending the recommendation to the first user to create and share a shareable link to the second content item with the second user is based, at least in part, on the determining that the second content item is not designated as private by the first user.
This invention relates to a content-sharing system that recommends sharing content items between users based on privacy settings. The system addresses the problem of users manually identifying and sharing relevant content with others, particularly when privacy settings may restrict access. The system includes a server with a processor and memory storing instructions. The instructions enable the server to identify a first user and a second user, where the second user is associated with the first user. The system detects a second content item created by the second user and determines that the second content item is not designated as private by the first user. Based on this determination, the system sends a recommendation to the first user to create and share a shareable link to the second content item with the second user. The recommendation is generated only if the content is not private, ensuring compliance with privacy settings. The system may also track interactions between users, such as prior sharing activities or social connections, to refine recommendations. The instructions further enable the server to generate and send the shareable link to the first user upon request, allowing seamless sharing of non-private content. This automated recommendation process enhances user experience by reducing manual effort while respecting privacy constraints.
Unknown
October 29, 2019
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